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Director, Scientific Solutions

TetraScience
CompanyTetraScience
CategoryScience & Research
LocationNew York
RemoteRemote
EmploymentNot stated
LevelDirector
SalaryNot stated by the employer
Posted1 Jul 2026
Last verified8 Aug 2026
SourceEmployer ATS (workable)
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Description
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “ The Tetra Way ,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. The Role The Director, Scientific Solutions is a senior leadership role born from a deliberate strategic choice: the most effective way to sell and scale TetraScience’s Scientific Data and AI Cloud is to have a leader who can credibly do both — win the scientific and technical confidence of the customer and own the commercial relationship through close — while leading and developing a team of Scientific Solutions Partners. No separate Account Executive needed. This is not a traditional sales-management role with a presales overlay. The Director owns the most strategic accounts in the region personally while building, coaching, and holding accountable a team of Scientific Solutions Partners. You will set commercial strategy for your territory, model the full customer engagement — from prospecting and discovery through technical solutioning, proof-of-concept, RFP response, and close — and remain accountable for the health, expansion, and renewal of the book of business alongside Delivery Management. You carry both an individual mandate on flagship accounts and a leadership mandate for your team’s collective number. You will work with the world’s largest enterprise biopharma, biotech, and life sciences companies, helping them understand how the Tetra Scientific Data Foundry and Tetra OS transform siloed, raw scientific data into AI-ready scientific datasets across the medallion architecture (bronze → silver → gold → AI-native). You and your team will engage audiences ranging from bench scientists and data engineers to CDOs, VPs of Divisional IT, VPs of Scientific areas, and digital transformation executives. TetraScience provides its solutions leaders with AI-powered tools — including Claude Cowork and Codex — that automate RFPs, triage, and contracting workflows, enabling each leader and their team to operate with the leverage of a much larger organization. What You’ll Do Leadership & Team Development Help to hire, develop, and retain a high-performing team of Scientific Solutions Partners; set clear performance expectations and coach to both scientific credibility and commercial rigor Establish and reinforce the operating cadence of the team — pipeline reviews, deal inspection, forecasting discipline, and account planning Coach team members through complex, technical, multi-stakeholder sales cycles, modeling best practice on your own strategic accounts Serve as an escalation point and executive sponsor for the team’s most important customer relationships and competitive situations Foster a culture aligned to The Tetra Way — scientific depth, customer obsession, accountability, and high standards Scientific & Technical Engagement Personally lead technical discovery on strategic accounts and raise the bar for how the team understands each customer’s lab data landscape — instruments, data formats, informatics stack, and data science ambitions Design and present compelling solution architectures aligned to specific scientific use cases (e.g., ADMET assays, FPLC/UPLC chromatography, bioassay data harmonization, AI training datasets), while ensuring the team can do the same Champion leading with demos of actual software